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Book Cover
E-book
Author Demidenko, Eugene, 1948- author.

Title Advanced statistics with applications in R / Eugene Demidenko (Dartmouth College)
Published Hoboken, NJ : Wiley, 2020

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Description 1 online resource
Series Wiley series in probability and statistics
Contents Discrete random variables -- Continuous random variables -- Multivariate random variables -- Important fistributions in statistics -- Preliminary data analysis and visualization -- Parameter estimation -- Hypothesis testing and confidence interval -- Linear model and its extensions -- Nonlinear regression -- Appendices
Summary Advanced Statistics with Applications in R fills the gap between several excellent theoretical statistics textbooks and many applied statistics books where teaching reduces to using existing packages. This book looks at what is under the hood. Many statistics issues including the recent crisis with p-value are caused by misunderstanding of statistical concepts due to poor theoretical background of practitioners and applied statisticians. This book is the product of a forty-year experience in teaching of probability and statistics and their applications for solving real-life problems. There are more than 442 examples in the book: basically every probability or statistics concept is illustrated with an example accompanied with an R code. Many examples, such as Who said p' What team is better' The fall of the Roman empire, James Bond chase problem, Black Friday shopping, Free fall equation: Aristotle or Galilei, and many others are intriguing. These examples cover biostatistics, finance, physics and engineering, text and image analysis, epidemiology, spatial statistics, sociology, etc. Advanced Statistics with Applications in R teaches students to use theory for solving real-life problems through computations: there are about 500 R codes and 100 datasets. These data can be freely downloaded from the author's website dartmouth.edu/eugened. This book is suitable as a text for senior undergraduate students with major in statistics or data science or graduate students. Many researchers who apply statistics on the regular basis find explanation of many fundamental concepts from the theoretical perspective illustrated by concrete real-world applications.'
Bibliography Includes bibliographical references and index
Notes Print version record and CIP data provided by publisher
Subject Mathematical statistics -- Data processing -- Problems, exercises, etc
Statistics -- Data processing -- Problems, exercises, etc
R (Computer program language)
MATHEMATICS -- Probability & Statistics -- General.
Mathematical statistics -- Data processing
R (Computer program language)
Statistics -- Data processing
Genre/Form exercise books.
Problems and exercises
Problems and exercises.
Problèmes et exercices.
Form Electronic book
LC no. 2019019543
ISBN 9781118594131
1118594134
9781118594612
1118594614
9781119449195
1119449197
1118387988
9781118387986